#   Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

from __future__ import print_function
import numpy as np

from paddle.io import Dataset


class CensusDataset(Dataset):
    def __init__(self, file_list):
        super(CensusDataset, self).__init__()
        self.read_data(file_list)

    def read_data(self, file_list):
        full_lines = []
        self.data = []
        for file in file_list:
            with open(file, "r") as rf:
                for line in rf:
                    l = line.strip().split(',')
                    l = list(map(float, l))
                    label_income = []
                    label_marital = []
                    data = l[2:]
                    if int(l[1]) == 0:
                        label_income = [0]
                    elif int(l[1]) == 1:
                        label_income = [1]
                    if int(l[0]) == 0:
                        label_marital = [0]
                    elif int(l[0]) == 1:
                        label_marital = [1]
                    self.data.append([
                        np.array(data), np.array(label_income),
                        np.array(label_marital)
                    ])

    def __getitem__(self, index):
        return self.data[index]

    def __len__(self):
        return len(self.data)
